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Python Coding Challenges

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819 challenges 506 easy 280 medium 33 hard
Graphs & Graph Algorithms medium

Bellman-Ford Algorithm

Implement the Bellman-Ford algorithm to compute shortest distances from a source in a directed weighted graph with up to 100 vertices and negative edges.

shortest-path negative-edges graph
+30 pts 30m
Graphs & Graph Algorithms easy

Cycle Detection in a Directed Graph

Use DFS with a recursion stack to detect cycles in a directed graph.

graph dfs cycle
+10 pts 15m
Graphs & Graph Algorithms easy

Cycle Detection in Undirected Graph

Write a function that detects if an undirected graph contains a cycle.

graph dfs cycle-detection
+10 pts 15m
Graphs & Graph Algorithms medium

Articulation Points

Implement a function that returns the articulation points of an undirected graph.

graphs dfs bridges
+25 pts 30m
Graphs & Graph Algorithms medium

Bridges in Graph

Implement a function that returns all bridges in an undirected graph.

graph dfs bridges
+30 pts 30m
Graphs & Graph Algorithms medium

Hamiltonian Path Check

Implement a function that checks whether an undirected graph has a Hamiltonian path using DFS and backtracking.

graph dfs backtracking
+30 pts 30m
Graphs & Graph Algorithms hard

Minimum Cut

Given an undirected graph in adjacency-list form, return the size of the minimum edge cut that disconnects the graph.

graphs max-flow min-cut
+40 pts 35m
Graphs & Graph Algorithms medium

Bipartite Graph Check

Implement a function to check if an undirected graph is bipartite using graph coloring.

graphs bfs coloring
+25 pts 30m
Graphs & Graph Algorithms medium

Graph Coloring

Given an undirected graph, determine if it can be colored with two colors such that adjacent vertices have different colors.

graph bipartite bfs
+20 pts 20m
Graphs & Graph Algorithms medium

All Paths from Source to Target

Given a directed acyclic graph, return all paths from node 0 to the last node.

graph dfs backtracking
+25 pts 25m
Graphs & Graph Algorithms medium

Network Delay Time

Given a directed weighted graph and a starting node, find the minimum time for a signal to reach all nodes, or -1 if unreachable.

dijkstra shortest-path graph
+25 pts 30m
Graphs & Graph Algorithms medium

Cheapest Flights Within K Stops

Implement a function to compute the cheapest flight price from source to destination with at most K stops in a directed weighted graph.

graphs shortest-path dp
+30 pts 30m
Graphs & Graph Algorithms medium

Prim's Minimum Spanning Tree

Given a connected undirected weighted graph, compute the total weight of its minimum spanning tree using Prim's algorithm.

graphs mst prim
+30 pts 30m
Graphs & Graph Algorithms medium

Kruskal MST

Implement Kruskal's algorithm to compute the total weight of a minimum spanning tree in a connected undirected graph.

graphs minimum-spanning-tree union-find
+25 pts 30m
Graphs & Graph Algorithms medium

Topological Sort via DFS

Return a deterministic topological ordering of nodes in a directed acyclic graph using DFS, or an empty list if a cycle exists.

topological-sort dfs graph
+20 pts 25m
Graphs & Graph Algorithms medium

Strongly Connected Components (Kosaraju's Algorithm)

Implement a function to find strongly connected components in a directed graph using Kosaraju's algorithm.

graphs dfs kosaraju
+30 pts 30m
Graphs & Graph Algorithms easy

Clique Detection

Given an undirected graph and a list of vertices, check if every pair of distinct vertices in the list is connected by an edge.

graphs cliques adjacency-matrix
+10 pts 15m
Graphs & Graph Algorithms medium

Minimum Height Trees

Given an undirected tree, find all root nodes that minimize the height of the tree.

graphs bfs topological
+30 pts 30m
Graphs & Graph Algorithms medium

Floyd-Warshall: All-Pairs Shortest Paths

Implement the Floyd-Warshall algorithm to find all-pairs shortest path distances in a directed graph with possibly negative weights but no negative cycles.

graph shortest-path dynamic-programming
+25 pts 30m

Showing 19 challenges · Graphs & Graph Algorithms

Graphs & Graph Algorithms — Python coding challenges

What you will find here

This page lists graphs & graph algorithms challenges — real Python problems you solve in the browser IDE with instant test feedback. Each challenge includes a clear brief, starter code, and automated checks.

Challenges vs tutorials and quizzes

Challenges test what you can build under constraints. For guided teaching, use our Python tutorials. For quick checks, try quizzes or copy snippets from code samples.